breakpilot-lehrer/klausur-service/backend/grid/editor/api_box.py

"""
Grid Editor API — box-grid-review endpoints.
"""

import logging

from fastapi import APIRouter, HTTPException, Request

from .filters import _words_in_zone
from ocr_pipeline_session_store import (
    get_session_db,
    update_session_db,
)

logger = logging.getLogger(__name__)

router = APIRouter(prefix="/api/v1/ocr-pipeline", tags=["grid-editor"])


@router.post("/sessions/{session_id}/build-box-grids")
async def build_box_grids(session_id: str, request: Request):
    """Rebuild grid structure for all detected boxes with layout-aware detection.

    Uses structure_result.boxes (from Step 7) as the source of box coordinates,
    and raw_paddle_words as OCR word source. Creates or updates box zones in
    the grid_editor_result.

    Optional body: { "overrides": { "0": "bullet_list" } }
    Maps box_index -> forced layout_type.
    """
    session = await get_session_db(session_id)
    if not session:
        raise HTTPException(status_code=404, detail=f"Session {session_id} not found")

    grid_data = session.get("grid_editor_result")
    if not grid_data:
        raise HTTPException(status_code=400, detail="No grid data. Run build-grid first.")

    # Get raw OCR words (with top/left/width/height keys)
    word_result = session.get("word_result") or {}
    all_words = word_result.get("raw_paddle_words") or word_result.get("raw_tesseract_words") or []
    if not all_words:
        raise HTTPException(status_code=400, detail="No raw OCR words available.")

    # Get detected boxes from structure_result
    structure_result = session.get("structure_result") or {}
    gt = session.get("ground_truth") or {}
    if not structure_result:
        structure_result = gt.get("structure_result") or {}
    detected_boxes = structure_result.get("boxes") or []
    if not detected_boxes:
        return {"session_id": session_id, "box_zones_rebuilt": 0, "spell_fixes": 0, "message": "No boxes detected"}

    # Filter out false-positive boxes in header/footer margins.
    img_h_for_filter = grid_data.get("image_height", 0) or word_result.get("image_height", 0)
    if img_h_for_filter > 0:
        margin_frac = 0.07  # 7% of image height
        margin_top = img_h_for_filter * margin_frac
        margin_bottom = img_h_for_filter * (1 - margin_frac)
        filtered = []
        for box in detected_boxes:
            by = box.get("y", 0)
            bh = box.get("h", 0)
            box_center_y = by + bh / 2
            if box_center_y < margin_top or box_center_y > margin_bottom:
                logger.info("build-box-grids: skipping header/footer box at y=%d h=%d (center=%.0f, margins=%.0f/%.0f)",
                            by, bh, box_center_y, margin_top, margin_bottom)
                continue
            filtered.append(box)
        detected_boxes = filtered

    body = {}
    try:
        body = await request.json()
    except Exception:
        pass
    layout_overrides = body.get("overrides", {})

    from cv_box_layout import build_box_zone_grid

    img_w = grid_data.get("image_width", 0) or word_result.get("image_width", 0)
    img_h = grid_data.get("image_height", 0) or word_result.get("image_height", 0)

    zones = grid_data.get("zones", [])

    # Find highest existing zone_index
    max_zone_idx = max((z.get("zone_index", 0) for z in zones), default=-1)

    # Remove old box zones (we'll rebuild them)
    zones = [z for z in zones if z.get("zone_type") != "box"]

    box_count = 0
    spell_fixes = 0

    for box_idx, box in enumerate(detected_boxes):
        bx = box.get("x", 0)
        by = box.get("y", 0)
        bw = box.get("w", 0)
        bh = box.get("h", 0)

        if bw <= 0 or bh <= 0:
            continue

        # Filter raw OCR words inside this box
        zone_words = _words_in_zone(all_words, by, bh, bx, bw)
        if not zone_words:
            logger.info("Box %d: no words found in bbox (%d,%d,%d,%d)", box_idx, bx, by, bw, bh)
            continue

        zone_idx = max_zone_idx + 1 + box_idx
        forced_layout = layout_overrides.get(str(box_idx))

        # Build box grid
        box_grid = build_box_zone_grid(
            zone_words, bx, by, bw, bh,
            zone_idx, img_w, img_h,
            layout_type=forced_layout,
        )

        # Apply SmartSpellChecker to all box cells
        try:
            from smart_spell import SmartSpellChecker
            ssc = SmartSpellChecker()
            for cell in box_grid.get("cells", []):
                text = cell.get("text", "")
                if not text:
                    continue
                result = ssc.correct_text(text, lang="auto")
                if result.changed:
                    cell["text"] = result.corrected
                    spell_fixes += 1
        except ImportError:
            pass

        # Build zone entry
        zone_entry = {
            "zone_index": zone_idx,
            "zone_type": "box",
            "bbox_px": {"x": bx, "y": by, "w": bw, "h": bh},
            "bbox_pct": {
                "x": round(bx / img_w * 100, 2) if img_w else 0,
                "y": round(by / img_h * 100, 2) if img_h else 0,
                "w": round(bw / img_w * 100, 2) if img_w else 0,
                "h": round(bh / img_h * 100, 2) if img_h else 0,
            },
            "border": None,
            "word_count": len(zone_words),
            "columns": box_grid["columns"],
            "rows": box_grid["rows"],
            "cells": box_grid["cells"],
            "header_rows": box_grid.get("header_rows", []),
            "box_layout_type": box_grid.get("box_layout_type", "flowing"),
            "box_grid_reviewed": False,
            "box_bg_color": box.get("bg_color_name", ""),
            "box_bg_hex": box.get("bg_color_hex", ""),
        }
        zones.append(zone_entry)
        box_count += 1

    # Sort zones by y-position for correct reading order
    zones.sort(key=lambda z: z.get("bbox_px", {}).get("y", 0))

    grid_data["zones"] = zones
    await update_session_db(session_id, grid_editor_result=grid_data)

    logger.info(
        "build-box-grids session %s: %d boxes processed (%d words spell-fixed) from %d detected",
        session_id, box_count, spell_fixes, len(detected_boxes),
    )

    return {
        "session_id": session_id,
        "box_zones_rebuilt": box_count,
        "total_detected_boxes": len(detected_boxes),
        "spell_fixes": spell_fixes,
        "zones": zones,
    }